Clasificación automática de fuentes de ruido de tráfico

Abstract

The last review international standard ISO 1996-2:2007, Determination of Environmental Noise Levels” [1], in its 6.2 section states that if the Leq of road traffic is measured and the results are going to be used to calculate to other traffic conditions, the classification of at least two categories of vehicles: “light” and “heavy” should be registered. This information is also needed to calculate a Noise Map. Quite often, in secondary roads and streets there is no information on the traffic characteristics, so a manual sampling is used to get the average number of vehicles. In this paper, a first approach to get an automatic classification of vehicles is presented. Some basic classifiers have been tested (k-nearest neighbours, FLD ( Fischer Linear Discriminator) and Principal Components. As first approach, the aim of the job was to determine if the different classes (trucks, cars and motorbikes) could be separable using different time and frequency characteristics. The results shows that for some of the characteristics the signals are separable, so a continuous traffic noise signal could be processed to get the information of the number of heavy trucks, cars and motorbikes that passed by during the measurement period. Information of a stereo recording could be used to get information of the direction of the vehicle.